Triple
T35520369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abortion: Stories Women Tell |
E1026534
|
entity |
| Predicate | hasReviewCoverage |
P175658
|
FINISHED |
| Object | The New York Times |
E4481
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: The New York Times | Statement: [Abortion: Stories Women Tell, hasReviewCoverage, The New York Times]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReviewCoverage Context triple: [Abortion: Stories Women Tell, hasReviewCoverage, The New York Times]
-
A.
hasPublisherCoverage
Indicates that a publisher provides content, services, or distribution that extend over or apply to a specified entity or area.
-
B.
hasReviewFocus
Indicates that a review specifically concentrates on or emphasizes a particular aspect, feature, or component of the subject.
-
C.
hasBeenReviewedIn
chosen
Indicates that an entity has been evaluated or critiqued within a specific review, publication, or reviewing context.
-
D.
hasReviewed
Indicates that one entity has examined, evaluated, or provided feedback on another entity (such as a work, product, or performance).
-
E.
hasReviewReception
Indicates that an entity has received a critical or evaluative review describing how it was received or perceived.
- F. None of above.
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76dfe78b081908e2b14cb88dd8c00 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a384a3ea2588190b470f8493b0bcbb9 |
completed | June 21, 2026, 8:31 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:04 p.m.